Wastewaters
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA839561 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR19307978_1.fastq.gz | Fastqsanger.gz | |||
| SRR19307978_2.fastq.gz | Fastqsanger.gz | |||
| SRR19307979_1.fastq.gz | Fastqsanger.gz | |||
| SRR19307979_2.fastq.gz | Fastqsanger.gz | |||
| SRR19307980_1.fastq.gz | Fastqsanger.gz |
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Project description:Nitrate-reducing iron(II)-oxidizing bacteria are widespread in the environment contribute to nitrate removal and influence the fate of the greenhouse gases nitrous oxide and carbon dioxide. The autotrophic growth of nitrate-reducing iron(II)-oxidizing bacteria is rarely investigated and poorly understood. The most prominent model system for this type of studies is enrichment culture KS, which originates from a freshwater sediment in Bremen, Germany. To gain insights in the metabolism of nitrate reduction coupled to iron(II) oxidation under in the absence of organic carbon and oxygen limited conditions, we performed metagenomic, metatranscriptomic and metaproteomic analyses of culture KS. Raw sequencing data of 16S rRNA amplicon sequencing, shotgun metagenomics (short reads: Illumina; long reads: Oxford Nanopore Technologies), metagenome assembly, raw sequencing data of shotgun metatranscriptomes (2 conditions, triplicates) can be found at SRA in https://www.ncbi.nlm.nih.gov/bioproject/PRJNA682552. This dataset contains proteomics data for 2 conditions (heterotrophic and autotrophic growth conditions) in triplicates.
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Project description:In response to the issues of low denitrification efficiency and high N₂O emissions in the biological nitrogen removal process of low C/N municipal wastewater, studies typically address these challenges by adding carbon sources. In this study, the addition of microorganisms enhanced the carbon flow and electron transport for nitrate reduction, significantly improving the denitrification performance of low C/N wastewater and reducing N₂O production. Proteomic analysis was employed to explore the mechanisms underlying this effect. The results revealed that the metabolites produced by the added microorganisms, S. oneidensis MR-1 and B. subtilis, including biosurfactants, heme, and cytochromes, altered the intracellular carbon redistribution in P. denitrificans, leading to an increased carbon flow directed towards nitrate reduction, thus enhancing total nitrogen removal efficiency.
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Project description:Nitrate-reducing iron(II)-oxidizing (NDFO) bacteria are widespread in the environment contribute to nitrate removal and influence the fate of the greenhouse gases nitrous oxide and carbon dioxide. The autotrophic growth of nitrate-reducing iron(II)-oxidizing bacteria is rarely investigated and poorly understood. The most prominent model system for this type of studies is enrichment culture KS, which originates from a freshwater sediment in Bremen, Germany. A second NDFO culture, culture BP, was obtained with a sample taken in 2015 at the same pond and cultured in a similar way. To gain insights in the metabolism of nitrate reduction coupled to iron(II) oxidation under in the absence of organic carbon and oxygen limited conditions, we performed metagenomic, metatranscriptomic and metaproteomic analyses of culture BP. Raw sequencing data of 16S rRNA amplicon sequencing (V4 region with Illumina and near full-length with PacBio), shotgun metagenomics, metagenome assembly, raw sequencing data of shotgun metatranscriptomes (2 conditions, triplicates) can be found at SRA in https://www.ncbi.nlm.nih.gov/bioproject/PRJNA693457. This dataset contains proteomics data for 2 conditions in triplicates. Samples R23, R24, and R25 are grown in autotrophic conditions, samples R26, R27, and R28 in heterotrophic conditions.
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